克兰菲尔德大学

Artificial intelligence technologies are being increasingly adopted across a broad range of industries, creating demand for talented graduates who can help realise the transformative potential of AI. With a fundamental interest in AI, machine vision and computer sciences, you will have the desire to apply this knowledge to solve real world engineering problems.

Taught through a unique combination of theoretical and practical-based sessions you will cover subjects in logic and reasoning, data analytics, deep learning, agent architectures, alongside the broader systems engineering and ethical considerations required for implementation in real-world systems.

Who is it for?

This course provides engineering, physics, computing or mathematics graduates with the advanced skills which can be applied to the security, defence, marine, environmental and aerospace industries. This course is also available on a part-time basis enabling you to combine studying with full-time employment.

Why this course?

Artificial intelligence (AI) and machine learning are redefining the way we live and work, allowing us to automate processes and enhance productivity. These new technologies create the need for skilled engineers with an understanding of their applications and intricacies.

Accreditation

Accreditation will be sought for the MSc in Applied Artificial Intelligence from the British Computer Society (BCS) and the Institution of Engineering and Technology (IET).

Your career

Industry-led education makes Cranfield graduates some of the most desirable all over the world for recruitment by both global primes to smaller innovative start-ups looking for the brightest talent.

Graduates from this course will be equipped with the advanced skills which could be applied to the security, defence, marine, environmental and aerospace industries. This approach offers a wide range of career choices with job roles including:

• Autonomous systems engineer,
• Machine learning engineer,
• Applied machine learning engineer,
• Data scientist,
• Research scientist,
• Big data engineer.

Others decide to continue their education through PhD studies available within Cranfield University or elsewhere.